library(tidyverse)## Warning: package 'tidyverse' was built under R version 4.2.3## Warning: package 'tibble' was built under R version 4.2.3## Warning: package 'dplyr' was built under R version 4.2.3## Warning: package 'forcats' was built under R version 4.2.3## Warning: package 'lubridate' was built under R version 4.2.3## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.2 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.0
## ✔ ggplot2 3.4.3 ✔ tibble 3.2.1
## ✔ lubridate 1.9.2 ✔ tidyr 1.3.0
## ✔ purrr 1.0.1
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorslibrary(sf)## Warning: package 'sf' was built under R version 4.2.3## Linking to GEOS 3.9.3, GDAL 3.5.2, PROJ 8.2.1; sf_use_s2() is TRUElibrary(ggmap)## Warning: package 'ggmap' was built under R version 4.2.3## The legacy packages maptools, rgdal, and rgeos, underpinning the sp package,
## which was just loaded, will retire in October 2023.
## Please refer to R-spatial evolution reports for details, especially
## https://r-spatial.org/r/2023/05/15/evolution4.html.
## It may be desirable to make the sf package available;
## package maintainers should consider adding sf to Suggests:.
## The sp package is now running under evolution status 2
## (status 2 uses the sf package in place of rgdal)
## ℹ Google's Terms of Service: <https://mapsplatform.google.com>
## ℹ Please cite ggmap if you use it! Use `citation("ggmap")` for details.library(osmdata)## Warning: package 'osmdata' was built under R version 4.2.3## Data (c) OpenStreetMap contributors, ODbL 1.0. https://www.openstreetmap.org/copyrightlibrary(mapview)
sf_use_s2(FALSE)## Spherical geometry (s2) switched offmake_bbox() st_bbox() getbb()
bbox_montevideo <- getbb("Montevideo, Uruguay")bbox_montevideo## min max
## x -56.43140 -56.02250
## y -34.93806 -34.70185mapa_montevideo <- get_stamenmap(bbox=bbox_montevideo,zoom=12)## ℹ Map tiles by Stamen Design, under CC BY 3.0. Data by OpenStreetMap, under ODbL.ggmap(mapa_montevideo)
polygon_montevideo <- getbb("Montevideo, Uruguay",format_out = "sf_polygon")polygon_montevideo <- polygon_montevideo %>% mutate(ID=row.names(polygon_montevideo))ggmap(mapa_montevideo)+
geom_sf(data=polygon_montevideo, inherit.aes = FALSE)+
facet_wrap(~ID)## Coordinate system already present. Adding new coordinate system, which will
## replace the existing one.
polygon_montevideo <- polygon_montevideo %>%
filter(ID==1)ggmap(mapa_montevideo)+
geom_sf(data=polygon_montevideo, inherit.aes = FALSE, fill=NA, color= "blue")## Coordinate system already present. Adding new coordinate system, which will
## replace the existing one.
descarga de parques
paso 1:seleccionar box opq()
parques_montevideo <- opq(bbox_montevideo)paso2: elegir que descargar: key=leisure, value=park add_osm_featurre()
parques_montevideo <- add_osm_feature(parques_montevideo,
key="leisure",
value="park")paso3: Descargar datos osmdata_sf()
parques_montevideo <- osmdata_sf(parques_montevideo)parques_montevideo## Object of class 'osmdata' with:
## $bbox : -34.938056,-56.4313997,-34.7018526,-56.0225006
## $overpass_call : The call submitted to the overpass API
## $meta : metadata including timestamp and version numbers
## $osm_points : 'sf' Simple Features Collection with 3724 points
## $osm_lines : 'sf' Simple Features Collection with 36 linestrings
## $osm_polygons : 'sf' Simple Features Collection with 116 polygons
## $osm_multilines : NULL
## $osm_multipolygons : 'sf' Simple Features Collection with 10 multipolygonspaso4: seleccionar los poligonos
parques_polygons <- parques_montevideo$osm_polygonsparques_multipolygons <- parques_montevideo$osm_multipolygonsggmap(mapa_montevideo)+
geom_sf(data=polygon_montevideo, inherit.aes = FALSE, fill=NA, color="blue")+
geom_sf(data=parques_polygons, inherit.aes = FALSE)+
geom_sf(data=parques_multipolygons, inherit.aes = FALSE)## Coordinate system already present. Adding new coordinate system, which will
## replace the existing one.
rbind()
parques_polygons <- parques_polygons %>%
select(osm_id, name)parques_multipolygons <- parques_multipolygons %>%
select(osm_id, name)parques_montevideo <- rbind(parques_polygons, parques_multipolygons)st_intersection()
ggmap(mapa_montevideo)+
geom_sf(data=polygon_montevideo, inherit.aes = FALSE, fill=NA, color="blue")+
geom_sf(data=parques_montevideo, inherit.aes = FALSE, fill="green")## Coordinate system already present. Adding new coordinate system, which will
## replace the existing one.
parques_montevideo <- st_intersection(parques_montevideo, polygon_montevideo)## although coordinates are longitude/latitude, st_intersection assumes that they
## are planar## Warning: attribute variables are assumed to be spatially constant throughout
## all geometriesggmap(mapa_montevideo)+
geom_sf(data=polygon_montevideo, inherit.aes = FALSE, fill=NA, color="blue")+
geom_sf(data=parques_montevideo, inherit.aes = FALSE, fill="green")## Coordinate system already present. Adding new coordinate system, which will
## replace the existing one.
available_features()## [1] "4wd_only" "abandoned"
## [3] "abutters" "access"
## [5] "addr" "addr:city"
## [7] "addr:conscriptionnumber" "addr:country"
## [9] "addr:county" "addr:district"
## [11] "addr:flats" "addr:full"
## [13] "addr:hamlet" "addr:housename"
## [15] "addr:housenumber" "addr:inclusion"
## [17] "addr:interpolation" "addr:place"
## [19] "addr:postbox" "addr:postcode"
## [21] "addr:province" "addr:state"
## [23] "addr:street" "addr:subdistrict"
## [25] "addr:suburb" "addr:unit"
## [27] "admin_level" "aeroway"
## [29] "agricultural" "alt_name"
## [31] "amenity" "area"
## [33] "atv" "backward"
## [35] "barrier" "basin"
## [37] "bdouble" "bicycle"
## [39] "bicycle_road" "biergarten"
## [41] "boat" "border_type"
## [43] "boundary" "brand"
## [45] "bridge" "building"
## [47] "building:colour" "building:fireproof"
## [49] "building:flats" "building:levels"
## [51] "building:material" "building:min_level"
## [53] "building:part" "building:soft_storey"
## [55] "bus_bay" "busway"
## [57] "capacity" "castle_type"
## [59] "change" "charge"
## [61] "clothes" "construction"
## [63] "construction#Railways" "construction_date"
## [65] "covered" "craft"
## [67] "crossing" "crossing:island"
## [69] "cuisine" "cutting"
## [71] "cycleway" "denomination"
## [73] "destination" "diet:*"
## [75] "direction" "dispensing"
## [77] "disused" "drinking_water"
## [79] "drive_in" "drive_through"
## [81] "ele" "electric_bicycle"
## [83] "electrified" "embankment"
## [85] "embedded_rails" "emergency"
## [87] "end_date" "entrance"
## [89] "est_width" "fee"
## [91] "female" "fire_object:type"
## [93] "fire_operator" "fire_rank"
## [95] "foot" "footway"
## [97] "ford" "forestry"
## [99] "forward" "frequency"
## [101] "fuel" "gauge"
## [103] "golf_cart" "goods"
## [105] "hazard" "hazmat"
## [107] "healthcare" "healthcare:counselling"
## [109] "healthcare:speciality" "height"
## [111] "hgv" "highway"
## [113] "historic" "horse"
## [115] "hot_water" "ice_road"
## [117] "incline" "industrial"
## [119] "inline_skates" "inscription"
## [121] "int_name" "internet_access"
## [123] "junction" "kerb"
## [125] "landuse" "lanes"
## [127] "lanes:bus" "lanes:psv"
## [129] "layer" "leaf_cycle"
## [131] "leaf_type" "leisure"
## [133] "lhv" "lit"
## [135] "loc_name" "location"
## [137] "male" "man_made"
## [139] "max_age" "max_level"
## [141] "maxaxleload" "maxheight"
## [143] "maxlength" "maxspeed"
## [145] "maxstay" "maxweight"
## [147] "maxwidth" "military"
## [149] "min_age" "min_level"
## [151] "minspeed" "mofa"
## [153] "moped" "motor_vehicle"
## [155] "motorboat" "motorcar"
## [157] "motorcycle" "motorroad"
## [159] "mountain_pass" "mtb:description"
## [161] "mtb:scale" "name"
## [163] "name:left" "name:right"
## [165] "name_1" "name_2"
## [167] "narrow" "nat_name"
## [169] "natural" "nickname"
## [171] "noexit" "non_existent_levels"
## [173] "nudism" "office"
## [175] "official_name" "old_name"
## [177] "oneway" "oneway:bicycle"
## [179] "opening_hours" "opening_hours:drive_through"
## [181] "operator" "operator:type"
## [183] "orientation" "oven"
## [185] "overtaking" "parking"
## [187] "parking:condition" "parking:lane"
## [189] "passing_places" "place"
## [191] "power" "power_supply"
## [193] "priority" "priority_road"
## [195] "produce" "proposed"
## [197] "protected_area" "psv"
## [199] "public_transport" "railway"
## [201] "railway:preserved" "railway:track_ref"
## [203] "recycling_type" "ref"
## [205] "reg_name" "religion"
## [207] "rental" "residential"
## [209] "roadtrain" "route"
## [211] "sac_scale" "sauna"
## [213] "service" "service_times"
## [215] "shelter_type" "shop"
## [217] "short_name" "shower"
## [219] "sidewalk" "site"
## [221] "ski" "smoothness"
## [223] "social_facility" "sorting_name"
## [225] "speed_pedelec" "start_date"
## [227] "step_count" "substation"
## [229] "surface" "tactile_paving"
## [231] "tank" "tidal"
## [233] "toilets" "toilets:wheelchair"
## [235] "toll" "topless"
## [237] "tourism" "tracks"
## [239] "tracktype" "traffic_calming"
## [241] "traffic_sign" "trail_visibility"
## [243] "trailblazed" "trailblazed:visibility"
## [245] "tunnel" "turn"
## [247] "type" "unisex"
## [249] "usage" "vehicle"
## [251] "vending" "voltage"
## [253] "water" "wheelchair"
## [255] "wholesale" "width"
## [257] "winter_road" "wood"available_tags("shop")## # A tibble: 172 × 2
## Key Value
## <chr> <chr>
## 1 shop [[ Too many Data Items entities accessed. | musical_instrument ]]
## 2 shop agrarian
## 3 shop alcohol
## 4 shop anime
## 5 shop antiques
## 6 shop appliance
## 7 shop art
## 8 shop atv
## 9 shop baby_goods
## 10 shop bag
## # ℹ 162 more rowsavailable_tags("leisure")## # A tibble: 34 × 2
## Key Value
## <chr> <chr>
## 1 leisure adult_gaming_centre
## 2 leisure amusement_arcade
## 3 leisure bandstand
## 4 leisure beach_resort
## 5 leisure bird_hide
## 6 leisure common
## 7 leisure dance
## 8 leisure disc_golf_course
## 9 leisure dog_park
## 10 leisure escape_game
## # ℹ 24 more rowsparques_montevideo <- parques_montevideo %>%
mutate(area_km2=st_area(parques_montevideo))